The British Academy for Training and Development offers the AI Strategies for Business Managers training course. This course starts with the basics of AI to enable attendees to understand AI concepts, terms, and applications. Attendees will look at ways to draw up AI strategies, align them with corporate objectives, and manage their effective execution. Programme content includes identifying opportunities for AI implementation, finding viable candidate applications, and assessing expected ROI.

AI readiness assessment is an important component of the programme. Attendees are gradually being exposed to assessment of the organisation's competencies, data foundations, and digital maturity. Governance and risk management concerning AI are being addressed, with particular focus on ethics, compliance with regulations, and mitigation. Business managers will become aware of how to develop roadmaps for the deployment of AI, define timelines with a pragmatic approach, and create cross-functional groups.

Additionally, the programme explains data strategy and management, this helps attendees to appreciate data's worth, maintain its quality, and use it for AI-based decision-making. The change management and the culture of innovation are emphasized such that the attendees will learn to lead the initiatives of AI transformation and build support within the organisation.

At the end of this course, attendees will understand the concept of the tools necessary to work with technical teams, lead their organisations toward digital transformation, and make informed investment decisions with AI that match the business goals.

Objective:
By the end of this course, attendees will be able to:

• To set a stage for the continuity of strategic infusion of AI into businesses/organisations.

• Assist business leaders in recognising trends or opportunities in AI application that can bring measurable value.

• Develop skills in assessing organisational readiness for AI.

• Establish a governance and ethical foundation for the adoption of AI.

• Equip managers with needed resources to lead AI initiatives and change management.

• Advancement of collaboration between top business leaders and technical teams.

Who Should Attend?
This course is ideal for:

• Business Managers

• Department Heads

• Strategy and Innovation Officers

• Digital Transformation Leaders

• Project Managers

• Entrepreneurs and Start-up Founders

• Corporate Consultants

How will attendees benefit?
At the end of the course, attendees will gain many benefits:

• Gain a Strong understanding of the basic principles of AI and strategy shaping.

• Align AI initiatives with business objectives.

• Assess digital readiness regarding the adoption of AI for your organisation.

• Manage risks and ethical issues that are intrinsically linked with AI.

• Build a practical roadmap for AI implementation.

• Leverage your effectiveness in interfacing with data scientists and IT teams.

• Lead the cultural transformation and champion AI-driven innovation in your organisation.

• This course effectively prepares each participant to decide where, how, and when to invest in AI so that he or she has a competitive edge that can be sustained for a long time.

Introduction to Artificial Intelligence in Business

• Overview of AI technologies

• AI trends in various industries

• Strategic significance of AI adoption

Formulating an AI Strategy

• Setting AI-driven business objectives

• Aligning AI strategy with organisational goals

• Key frameworks for AI strategy development

Identifying AI Opportunities

• Recognising business functions where AI can add value

• Assessing AI feasibility and business impact

• Case studies of successful AI use cases

Assessing Organisational AI Readiness

• Evaluating digital infrastructure and data maturity

• Readiness tools and maturity models

• Workforce readiness and skill gap analysis

AI Governance and Risk Management

• AI ethics and compliance

• Regulatory frameworks for AI deployment

• Managing AI risks and unintended consequences

Developing an AI Implementation Roadmap

• Building realistic timelines and budgets

• Phased deployment and pilot projects

• Performance metrics and KPIs

Data Strategy for AI Success

• Data sourcing, quality, and lifecycle

• Building a data governance framework

• Leveraging data for machine learning

Managing Organisational Change

• Leading digital transformation

• Encouraging innovation and agility

• Addressing cultural and structural barriers

Collaborating with Technical Teams

• Bridging the gap between business and technology

• Understanding AI project lifecycles

• Stakeholder communication and management

Future of AI in Business Strategy

• Evolving trends in AI and automation

• Sustainability and AI

• Building long-term AI capability